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Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
Authors:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Ma, Qin
;
Xu, Kexin
;
Hu, Tianyu
;
Liu, Jin
;
Pang, Shuxin
;
Guan, Hongcan
;
Zhang, Jing
;
Guo, Qinghua
Adobe PDF(14928Kb)
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View/Download:7/0
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Submit date:2022/03/01
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system
期刊论文
FOREST ECOSYSTEMS, 2020, 卷号: 7, 期号: 1
Authors:
Xie, Yuyang
;
Zhang, Jie
;
Chen, Xiangwu
;
Pang, Shuxin
;
Zeng, Hui
;
Shen, Zehao
Adobe PDF(1254Kb)
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View/Download:5/0
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Submit date:2022/03/01
Adaptive cylinder fitting
Diameter at breast height
LiBackpack
Point cloud slice
Point density
Transitional model
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
Authors:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
;
Yang, Qiuli
;
Wu, Fangfang
;
Xu, Guangcai
;
Ma, Qin
;
Guan, Hongcan
;
Pang, Shuxin
;
Li, Yumei
;
Guo, Qinghua
Adobe PDF(4774Kb)
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View/Download:6/0
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Submit date:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
期刊论文
PLANT METHODS, 2019, 卷号: 15
Authors:
Su, Yanjun
;
Wu, Fangfang
;
Ao, Zurui
;
Jin, Shichao
;
Qin, Feng
;
Liu, Boxin
;
Pang, Shuxin
;
Liu, Lingli
;
Guo, Qinghua
Adobe PDF(2545Kb)
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View/Download:9/0
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Submit date:2022/01/06
Maize
Phenotype
Lidar
Drought stress
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
Authors:
Jin, Shichao
;
Su, Yanjun
;
Wu, Fangfang
;
Pang, Shuxin
;
Gao, Shang
;
Hu, Tianyu
;
Liu, Jin
;
Guo, Qinghua
Adobe PDF(7737Kb)
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View/Download:10/0
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Submit date:2022/01/06
Light detection and ranging (LiDAR)
phenotypic traits
regional growth
segmentation
skeleton
Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping
期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2018, 卷号: 61, 期号: 3, 页码: 328-339
Authors:
Guo, Qinghua
;
Wu, Fangfang
;
Pang, Shuxin
;
Zhao, Xiaoqian
;
Chen, Linhai
;
Liu, Jin
;
Xue, Baolin
;
Xu, Guangcai
;
Li, Le
;
Jing, Haichun
;
Chu, Chengcai
Adobe PDF(5850Kb)
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View/Download:6/0
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Submit date:2022/02/25
crop breeding
phenotypic traits
data fusion
LiDAR
high-throughput
integrated platform
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
Authors:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Hu, Tianyu
;
Liu, Jin
;
Li, Wankai
;
Wang, Dingchang
;
Chen, Shaojiang
;
Jiang, Yuanxi
;
Pang, Shuxin
;
Guo, Qinghua
Adobe PDF(2278Kb)
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View/Download:5/0
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Submit date:2022/02/25
deep learning
detection
classification
segmentation
phenotype
Lidar (light detection and ranging)